Deep learning models go above and beyond traditional machine learning and can process data and recognize patterns much more ...

A resident of To'hajiilee, Michelle "Paulene" Abeyta recently hauled 50 gallons of drinking water from Albuquerque to her home in the Navajo community about 30 miles west of the city, which has ...

As demonstrated in Athul Ramkumar's research, these advancements are setting the stage for a future where human pose ...

Malicious URLs are among the most common vectors for cyberattacks, enabling phishing, malware distribution, and data theft.

Scientists have used deep learning to design new proteins that bind to complexes involving other small molecules like ...

Artificial Intelligence (AI) continues to drive technological evolution, with recent advancements in deep learning and ...

To this end, an approach based on Deep Reinforcement Learning (DRL) is presented in this paper, termed DVTP, which integrates Variational Graph Attention Networks (VGAT) and Transformer models to ...

The World Health Organization reports a steady increase in cancer patients worldwide, marking it as a major health threat.

The seven decades of "artificial intelligence" have been marked by exaggerated promises, surprising developments and ...